PREDICTING DAYLIGHT ILLUMINANCE IN URBAN CITY USING STATISTICAL REGRESSION TECHNIQUES
Prediction of daylight illuminance has become the prime concern for building designers. This paper presents the daylight illuminance frequency distribution, correlation coefficients amongst climate variables and linear regression models developed for moderate climate zone. The emphasis of the presen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor's University
2018-07-01
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| Series: | Journal of Engineering Science and Technology |
| Subjects: | |
| Online Access: | http://jestec.taylors.edu.my/Vol%2013%20issue%207%20July%202018/13_7_20.pdf |